Overview

Brought to you by YData

Dataset statistics

Number of variables14
Number of observations100020
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.7 MiB
Average record size in memory112.0 B

Variable types

Text7
DateTime1
Categorical1
Numeric5

Alerts

Breadth is highly overall correlated with DepthHigh correlation
Depth is highly overall correlated with BreadthHigh correlation
Rating is highly imbalanced (61.7%) Imbalance
Helpfulness is highly skewed (γ1 = 37.671852) Skewed
Helpfulness has 91596 (91.6%) zeros Zeros

Reproduction

Analysis started2025-01-08 15:31:58.764173
Analysis finished2025-01-08 15:32:09.176943
Duration10.41 seconds
Software versionydata-profiling vv4.12.0
Download configurationconfig.json

Variables

Distinct100017
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Memory size781.5 KiB
2025-01-09T00:32:09.414980image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Length

Max length9827
Median length3044
Mean length247.40966
Min length9

Characters and Unicode

Total characters24745914
Distinct characters67
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100014 ?
Unique (%)> 99.9%

Sample

1st rowI enjoyed both The Martian and Artemis so I preordered this one and started it immediately It did not disappoint Andy Weir is one of my favorite authors and Ray Porter is one of my favorite narrators so this combination is a winwin The narration is superb and the writing is great I recommend this book Dont over think it This is worth the price of admissionDisclaimer My enjoyment of the narrator is based on my listening speed I only leave 5 stars for books Ive listened to or will listen to multiple times
2nd rowAwesome story telling Great build up of the characters and universe Cant compare to The Martian as that was novelunique, but this absolutely crushes Artemis Reminds me of a cross between Old Mans War and the Three Body Problem but slightly less cerebral than the latter
3rd rowLet me start off by saying that I strongly enjoyed The Martian and Artemis please, please dont let the negative comments of others dissuade you from reading Artemis Until yesterday, American Gods was my unrivaled favorite as of finishing Project Hail Mary, it is now tied for my very favorite I will not provide spoilers, but if you enjoy good science fiction Scalzi, Taylor, Adams and understand that what makes good science fiction is good science, get Project Hail MaryAs for Ray Porter, I fell in love with his narration of We Are Legion We Are Bob and its sequels His enthusiastic, geeky, humorous, witty, and sarcastic tones are an absolute delight to my ears No other narrator could have done as well or betterI dont regret preordering both the audiobook and a signed copy of Project Hail Mary in the slightest To the contrary, I am elated and am looking forward to listening to this audiobook many, many times
4th rowEvery once in a while Ill finish a book and cant help but get a bit depressed Knowing that the magic and intrigue you felt can never quite be captured again Part of this comes from completing it so quickly, I just couldnt put it down The other was I KNEW I would love it just because it was written by Andy Weir Most books it takes a few chapters to start getting into it but was hooked from the startWithout giving anything away Id say that its a mix of the Bobiverse and the Martian The amazing adventure that comes with space while geeking out on science projects
5th rowIn the Martian his high school science lecture content was acceptable because of the suspense Here, which as far as I can tell is an attempt to recreate that, it totally fails After several hours of boring basic science and NOTHING at all happening, I had enough Its just dull, the attempt at suspense seems manufactured and theres no action I really liked Artemis, and wish hes written a sequel to that I am returning this one disappointed
ValueCountFrequency (%)
the 233329
 
5.2%
and 155283
 
3.4%
i 141295
 
3.1%
to 132302
 
2.9%
a 117310
 
2.6%
of 100590
 
2.2%
this 90400
 
2.0%
it 85420
 
1.9%
is 68444
 
1.5%
book 66648
 
1.5%
Other values (70339) 3334948
73.7%
2025-01-09T00:32:09.708926image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4496378
18.2%
e 2313653
 
9.3%
t 1855990
 
7.5%
o 1622742
 
6.6%
a 1558868
 
6.3%
i 1414517
 
5.7%
n 1334664
 
5.4%
s 1229780
 
5.0%
r 1180537
 
4.8%
h 984818
 
4.0%
Other values (57) 6753967
27.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 24745914
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
4496378
18.2%
e 2313653
 
9.3%
t 1855990
 
7.5%
o 1622742
 
6.6%
a 1558868
 
6.3%
i 1414517
 
5.7%
n 1334664
 
5.4%
s 1229780
 
5.0%
r 1180537
 
4.8%
h 984818
 
4.0%
Other values (57) 6753967
27.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 24745914
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
4496378
18.2%
e 2313653
 
9.3%
t 1855990
 
7.5%
o 1622742
 
6.6%
a 1558868
 
6.3%
i 1414517
 
5.7%
n 1334664
 
5.4%
s 1229780
 
5.0%
r 1180537
 
4.8%
h 984818
 
4.0%
Other values (57) 6753967
27.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 24745914
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
4496378
18.2%
e 2313653
 
9.3%
t 1855990
 
7.5%
o 1622742
 
6.6%
a 1558868
 
6.3%
i 1414517
 
5.7%
n 1334664
 
5.4%
s 1229780
 
5.0%
r 1180537
 
4.8%
h 984818
 
4.0%
Other values (57) 6753967
27.3%
Distinct5317
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size781.5 KiB
Minimum2002-12-19 00:00:00
Maximum2024-12-04 00:00:00
2025-01-09T00:32:09.818740image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-09T00:32:10.016133image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Rating
Categorical

Imbalance 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size781.5 KiB
5
83735 
4
10101 
3
 
3035
1
 
1630
2
 
1519

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters100020
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row5
3rd row5
4th row5
5th row4

Common Values

ValueCountFrequency (%)
5 83735
83.7%
4 10101
 
10.1%
3 3035
 
3.0%
1 1630
 
1.6%
2 1519
 
1.5%

Length

2025-01-09T00:32:10.099425image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-09T00:32:10.171606image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
ValueCountFrequency (%)
5 83735
83.7%
4 10101
 
10.1%
3 3035
 
3.0%
1 1630
 
1.6%
2 1519
 
1.5%

Most occurring characters

ValueCountFrequency (%)
5 83735
83.7%
4 10101
 
10.1%
3 3035
 
3.0%
1 1630
 
1.6%
2 1519
 
1.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 100020
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
5 83735
83.7%
4 10101
 
10.1%
3 3035
 
3.0%
1 1630
 
1.6%
2 1519
 
1.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 100020
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
5 83735
83.7%
4 10101
 
10.1%
3 3035
 
3.0%
1 1630
 
1.6%
2 1519
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 100020
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
5 83735
83.7%
4 10101
 
10.1%
3 3035
 
3.0%
1 1630
 
1.6%
2 1519
 
1.5%

Average_Rating
Real number (ℝ)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.649983
Minimum4
Maximum4.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size781.5 KiB
2025-01-09T00:32:10.237194image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4.3
Q14.6
median4.7
Q34.8
95-th percentile4.9
Maximum4.9
Range0.9
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.18882035
Coefficient of variation (CV)0.040606676
Kurtosis0.56767266
Mean4.649983
Median Absolute Deviation (MAD)0.1
Skewness-0.81626424
Sum465091.3
Variance0.035653126
MonotonicityNot monotonic
2025-01-09T00:32:10.301105image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
4.6 22793
22.8%
4.7 20941
20.9%
4.8 18413
18.4%
4.9 14762
14.8%
4.4 8086
 
8.1%
4.5 7367
 
7.4%
4.3 4603
 
4.6%
4.2 1408
 
1.4%
4 845
 
0.8%
4.1 802
 
0.8%
ValueCountFrequency (%)
4 845
 
0.8%
4.1 802
 
0.8%
4.2 1408
 
1.4%
4.3 4603
 
4.6%
4.4 8086
 
8.1%
4.5 7367
 
7.4%
4.6 22793
22.8%
4.7 20941
20.9%
4.8 18413
18.4%
4.9 14762
14.8%
ValueCountFrequency (%)
4.9 14762
14.8%
4.8 18413
18.4%
4.7 20941
20.9%
4.6 22793
22.8%
4.5 7367
 
7.4%
4.4 8086
 
8.1%
4.3 4603
 
4.6%
4.2 1408
 
1.4%
4.1 802
 
0.8%
4 845
 
0.8%

Num_of_Ratings
Real number (ℝ)

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44889.278
Minimum98
Maximum215239
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size781.5 KiB
2025-01-09T00:32:10.379445image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum98
5-th percentile5126
Q113701
median26734
Q352781
95-th percentile182379
Maximum215239
Range215141
Interquartile range (IQR)39080

Descriptive statistics

Standard deviation50350.634
Coefficient of variation (CV)1.1216628
Kurtosis3.9442403
Mean44889.278
Median Absolute Deviation (MAD)15281
Skewness2.1660307
Sum4.4898255 × 109
Variance2.5351863 × 109
MonotonicityNot monotonic
2025-01-09T00:32:10.603098image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
182379 1801
 
1.8%
54757 1739
 
1.7%
36116 1723
 
1.7%
52781 1677
 
1.7%
15885 1650
 
1.6%
45875 1647
 
1.6%
181868 1646
 
1.6%
101379 1629
 
1.6%
32619 1629
 
1.6%
36876 1626
 
1.6%
Other values (90) 83253
83.2%
ValueCountFrequency (%)
98 23
 
< 0.1%
101 26
 
< 0.1%
138 43
< 0.1%
180 33
 
< 0.1%
243 77
0.1%
463 58
0.1%
561 68
0.1%
1031 75
0.1%
1033 100
0.1%
1042 89
0.1%
ValueCountFrequency (%)
215239 1573
1.6%
202151 1600
1.6%
196712 1577
1.6%
182379 1801
1.8%
181868 1646
1.6%
104740 1536
1.5%
101379 1629
1.6%
89067 1581
1.6%
79190 1381
1.4%
62022 1597
1.6%

Helpfulness
Real number (ℝ)

Skewed  Zeros 

Distinct178
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6014897
Minimum0
Maximum656
Zeros91596
Zeros (%)91.6%
Negative0
Negative (%)0.0%
Memory size781.5 KiB
2025-01-09T00:32:10.691391image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum656
Range656
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.5898224
Coefficient of variation (CV)14.280913
Kurtosis1958.7614
Mean0.6014897
Median Absolute Deviation (MAD)0
Skewness37.671852
Sum60161
Variance73.785049
MonotonicityNot monotonic
2025-01-09T00:32:10.777702image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 91596
91.6%
1 4963
 
5.0%
2 1182
 
1.2%
3 550
 
0.5%
4 314
 
0.3%
5 161
 
0.2%
6 124
 
0.1%
7 96
 
0.1%
8 84
 
0.1%
9 60
 
0.1%
Other values (168) 890
 
0.9%
ValueCountFrequency (%)
0 91596
91.6%
1 4963
 
5.0%
2 1182
 
1.2%
3 550
 
0.5%
4 314
 
0.3%
5 161
 
0.2%
6 124
 
0.1%
7 96
 
0.1%
8 84
 
0.1%
9 60
 
0.1%
ValueCountFrequency (%)
656 1
< 0.1%
640 1
< 0.1%
597 1
< 0.1%
596 1
< 0.1%
467 1
< 0.1%
456 1
< 0.1%
452 1
< 0.1%
445 1
< 0.1%
438 1
< 0.1%
429 1
< 0.1%
Distinct63214
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Memory size781.5 KiB
2025-01-09T00:32:10.968150image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Length

Max length758
Median length142
Mean length10.107309
Min length1

Characters and Unicode

Total characters1010933
Distinct characters267
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55681 ?
Unique (%)55.7%

Sample

1st rowDavidgonzalezsr
2nd rowDavid
3rd rowRoswatheist
4th rowJ. Kenney
5th rowCelia
ValueCountFrequency (%)
customer 6462
 
3.9%
amazon 5278
 
3.2%
anonymous 3906
 
2.3%
user 3857
 
2.3%
m 1588
 
1.0%
a 1377
 
0.8%
j 1324
 
0.8%
s 1197
 
0.7%
kindle 1193
 
0.7%
c 1135
 
0.7%
Other values (41896) 139673
83.6%
2025-01-09T00:32:11.286457image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 90711
 
9.0%
a 85499
 
8.5%
n 71053
 
7.0%
67102
 
6.6%
r 62849
 
6.2%
o 59305
 
5.9%
i 54194
 
5.4%
s 46037
 
4.6%
l 41353
 
4.1%
t 35556
 
3.5%
Other values (257) 397274
39.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1010933
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 90711
 
9.0%
a 85499
 
8.5%
n 71053
 
7.0%
67102
 
6.6%
r 62849
 
6.2%
o 59305
 
5.9%
i 54194
 
5.4%
s 46037
 
4.6%
l 41353
 
4.1%
t 35556
 
3.5%
Other values (257) 397274
39.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1010933
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 90711
 
9.0%
a 85499
 
8.5%
n 71053
 
7.0%
67102
 
6.6%
r 62849
 
6.2%
o 59305
 
5.9%
i 54194
 
5.4%
s 46037
 
4.6%
l 41353
 
4.1%
t 35556
 
3.5%
Other values (257) 397274
39.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1010933
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 90711
 
9.0%
a 85499
 
8.5%
n 71053
 
7.0%
67102
 
6.6%
r 62849
 
6.2%
o 59305
 
5.9%
i 54194
 
5.4%
s 46037
 
4.6%
l 41353
 
4.1%
t 35556
 
3.5%
Other values (257) 397274
39.3%
Distinct63101
Distinct (%)63.1%
Missing0
Missing (%)0.0%
Memory size781.5 KiB
2025-01-09T00:32:11.486877image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Length

Max length128
Median length115
Mean length21.541062
Min length1

Characters and Unicode

Total characters2154537
Distinct characters64
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57884 ?
Unique (%)57.9%

Sample

1st rowBazinga
2nd rowAbsolutely Great way better than Artemis
3rd rowHighest Order of Geekgasm Medal
4th rowSo good, its depressing
5th rowNOT the Martian
ValueCountFrequency (%)
a 12237
 
3.3%
the 10519
 
2.9%
book 9446
 
2.6%
story 9426
 
2.6%
and 9097
 
2.5%
great 8952
 
2.4%
of 6214
 
1.7%
it 5906
 
1.6%
this 5605
 
1.5%
to 5509
 
1.5%
Other values (13754) 285468
77.5%
2025-01-09T00:32:11.797137image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
272501
 
12.6%
e 200542
 
9.3%
t 158176
 
7.3%
o 147337
 
6.8%
a 135519
 
6.3%
i 130668
 
6.1%
n 129220
 
6.0%
r 120877
 
5.6%
s 91669
 
4.3%
l 84499
 
3.9%
Other values (54) 683529
31.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2154537
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
272501
 
12.6%
e 200542
 
9.3%
t 158176
 
7.3%
o 147337
 
6.8%
a 135519
 
6.3%
i 130668
 
6.1%
n 129220
 
6.0%
r 120877
 
5.6%
s 91669
 
4.3%
l 84499
 
3.9%
Other values (54) 683529
31.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2154537
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
272501
 
12.6%
e 200542
 
9.3%
t 158176
 
7.3%
o 147337
 
6.8%
a 135519
 
6.3%
i 130668
 
6.1%
n 129220
 
6.0%
r 120877
 
5.6%
s 91669
 
4.3%
l 84499
 
3.9%
Other values (54) 683529
31.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2154537
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
272501
 
12.6%
e 200542
 
9.3%
t 158176
 
7.3%
o 147337
 
6.8%
a 135519
 
6.3%
i 130668
 
6.1%
n 129220
 
6.0%
r 120877
 
5.6%
s 91669
 
4.3%
l 84499
 
3.9%
Other values (54) 683529
31.7%

Link
Text

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size781.5 KiB
2025-01-09T00:32:11.961215image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Length

Max length104
Median length80
Mean length65.560818
Min length50

Characters and Unicode

Total characters6557393
Distinct characters65
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowhttps://www.audible.com/pd/Project-Hail-Mary-Audiobook/B08G9PRS1K
2nd rowhttps://www.audible.com/pd/Project-Hail-Mary-Audiobook/B08G9PRS1K
3rd rowhttps://www.audible.com/pd/Project-Hail-Mary-Audiobook/B08G9PRS1K
4th rowhttps://www.audible.com/pd/Project-Hail-Mary-Audiobook/B08G9PRS1K
5th rowhttps://www.audible.com/pd/Project-Hail-Mary-Audiobook/B08G9PRS1K
ValueCountFrequency (%)
https://www.audible.com/pd/project-hail-mary-audiobook/b08g9prs1k 1801
 
1.8%
https://www.audible.com/pd/circe-audiobook/b0794bxzbf 1739
 
1.7%
https://www.audible.com/pd/the-handmaids-tale-special-edition-audiobook/b06xfw9yz5 1723
 
1.7%
https://www.audible.com/pd/the-sandman-audiobook/b086wp794z 1677
 
1.7%
https://www.audible.com/pd/the-mystwick-school-of-musicraft-audiobook/b07mt4mtgp 1650
 
1.6%
https://www.audible.com/pd/the-hate-u-give-audiobook/b01nagd7tv 1647
 
1.6%
https://www.audible.com/pd/becoming-audiobook/b07b3bcz9s 1646
 
1.6%
https://www.audible.com/pd/the-nightingale-audiobook/b00nybqkfq 1629
 
1.6%
https://www.audible.com/pd/evil-eye-audiobook/b07qp1x8b7 1629
 
1.6%
https://www.audible.com/pd/kitchen-confidential-audiobook/b002va8gsa 1626
 
1.6%
Other values (90) 83253
83.2%
2025-01-09T00:32:12.225661image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 500100
 
7.6%
o 490897
 
7.5%
d 349475
 
5.3%
- 326617
 
5.0%
i 312046
 
4.8%
w 308861
 
4.7%
e 296199
 
4.5%
t 285691
 
4.4%
u 227727
 
3.5%
b 214229
 
3.3%
Other values (55) 3245551
49.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 6557393
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
/ 500100
 
7.6%
o 490897
 
7.5%
d 349475
 
5.3%
- 326617
 
5.0%
i 312046
 
4.8%
w 308861
 
4.7%
e 296199
 
4.5%
t 285691
 
4.4%
u 227727
 
3.5%
b 214229
 
3.3%
Other values (55) 3245551
49.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 6557393
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
/ 500100
 
7.6%
o 490897
 
7.5%
d 349475
 
5.3%
- 326617
 
5.0%
i 312046
 
4.8%
w 308861
 
4.7%
e 296199
 
4.5%
t 285691
 
4.4%
u 227727
 
3.5%
b 214229
 
3.3%
Other values (55) 3245551
49.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 6557393
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
/ 500100
 
7.6%
o 490897
 
7.5%
d 349475
 
5.3%
- 326617
 
5.0%
i 312046
 
4.8%
w 308861
 
4.7%
e 296199
 
4.5%
t 285691
 
4.4%
u 227727
 
3.5%
b 214229
 
3.3%
Other values (55) 3245551
49.5%
Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size781.5 KiB
2025-01-09T00:32:12.367028image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Length

Max length27
Median length25
Mean length22.381124
Min length10

Characters and Unicode

Total characters2238560
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row162833,15895,2619,672,360
2nd row162833,15895,2619,672,360
3rd row162833,15895,2619,672,360
4th row162833,15895,2619,672,360
5th row162833,15895,2619,672,360
ValueCountFrequency (%)
162833,15895,2619,672,360 1801
 
1.8%
42989,8803,2159,494,312 1739
 
1.7%
24398,7248,2683,1000,787 1723
 
1.7%
41741,6347,2482,1077,1134 1677
 
1.7%
12241,2785,628,123,108 1650
 
1.6%
38215,5922,1240,276,222 1647
 
1.6%
167358,11293,2099,526,592 1646
 
1.6%
88056,10560,1913,488,362 1629
 
1.6%
21973,7120,2395,652,479 1629
 
1.6%
30168,5163,1181,203,161 1626
 
1.6%
Other values (90) 83253
83.2%
2025-01-09T00:32:12.607446image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 400080
17.9%
1 293084
13.1%
2 235426
10.5%
3 197220
8.8%
4 194153
8.7%
6 180326
8.1%
5 158983
 
7.1%
8 158884
 
7.1%
9 143120
 
6.4%
7 140207
 
6.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2238560
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
, 400080
17.9%
1 293084
13.1%
2 235426
10.5%
3 197220
8.8%
4 194153
8.7%
6 180326
8.1%
5 158983
 
7.1%
8 158884
 
7.1%
9 143120
 
6.4%
7 140207
 
6.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2238560
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
, 400080
17.9%
1 293084
13.1%
2 235426
10.5%
3 197220
8.8%
4 194153
8.7%
6 180326
8.1%
5 158983
 
7.1%
8 158884
 
7.1%
9 143120
 
6.4%
7 140207
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2238560
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
, 400080
17.9%
1 293084
13.1%
2 235426
10.5%
3 197220
8.8%
4 194153
8.7%
6 180326
8.1%
5 158983
 
7.1%
8 158884
 
7.1%
9 143120
 
6.4%
7 140207
 
6.3%
Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size781.5 KiB
2025-01-09T00:32:12.752631image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Length

Max length25
Median length23
Mean length21.233873
Min length10

Characters and Unicode

Total characters2123812
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row156733,7989,1298,287,227
2nd row156733,7989,1298,287,227
3rd row156733,7989,1298,287,227
4th row156733,7989,1298,287,227
5th row156733,7989,1298,287,227
ValueCountFrequency (%)
156733,7989,1298,287,227 1801
 
1.8%
43762,4431,816,203,134 1739
 
1.7%
24729,5316,1623,518,402 1723
 
1.7%
41992,2633,727,328,483 1677
 
1.7%
12353,1605,321,55,61 1650
 
1.6%
36667,3855,831,145,134 1647
 
1.6%
150764,8445,1619,378,412 1646
 
1.6%
79759,9539,1759,409,288 1629
 
1.6%
24192,3973,1106,296,275 1629
 
1.6%
26805,3001,736,128,75 1626
 
1.6%
Other values (90) 83253
83.2%
2025-01-09T00:32:12.985083image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 400080
18.8%
1 267458
12.6%
2 228843
10.8%
3 185588
8.7%
5 168650
7.9%
6 159601
 
7.5%
4 151939
 
7.2%
7 145230
 
6.8%
8 144323
 
6.8%
0 141105
 
6.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2123812
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
, 400080
18.8%
1 267458
12.6%
2 228843
10.8%
3 185588
8.7%
5 168650
7.9%
6 159601
 
7.5%
4 151939
 
7.2%
7 145230
 
6.8%
8 144323
 
6.8%
0 141105
 
6.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2123812
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
, 400080
18.8%
1 267458
12.6%
2 228843
10.8%
3 185588
8.7%
5 168650
7.9%
6 159601
 
7.5%
4 151939
 
7.2%
7 145230
 
6.8%
8 144323
 
6.8%
0 141105
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2123812
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
, 400080
18.8%
1 267458
12.6%
2 228843
10.8%
3 185588
8.7%
5 168650
7.9%
6 159601
 
7.5%
4 151939
 
7.2%
7 145230
 
6.8%
8 144323
 
6.8%
0 141105
 
6.6%
Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size781.5 KiB
2025-01-09T00:32:13.129190image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Length

Max length26
Median length24
Mean length22.147021
Min length10

Characters and Unicode

Total characters2215145
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row145112,16872,2818,763,416
2nd row145112,16872,2818,763,416
3rd row145112,16872,2818,763,416
4th row145112,16872,2818,763,416
5th row145112,16872,2818,763,416
ValueCountFrequency (%)
145112,16872,2818,763,416 1801
 
1.8%
37805,8286,2189,532,302 1739
 
1.7%
21863,6313,2504,957,853 1723
 
1.7%
35483,5976,2420,1029,1076 1677
 
1.7%
10595,2743,765,147,92 1650
 
1.6%
34350,5452,1234,255,189 1647
 
1.6%
146729,11086,1957,499,466 1646
 
1.6%
79872,9093,1753,489,325 1629
 
1.6%
19324,6598,2562,726,499 1629
 
1.6%
25132,4213,975,162,95 1626
 
1.6%
Other values (90) 83253
83.2%
2025-01-09T00:32:13.365992image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 400080
18.1%
1 293956
13.3%
2 244955
11.1%
3 193121
8.7%
5 190824
8.6%
6 166872
7.5%
4 165733
7.5%
7 157646
 
7.1%
8 145974
 
6.6%
9 128594
 
5.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2215145
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
, 400080
18.1%
1 293956
13.3%
2 244955
11.1%
3 193121
8.7%
5 190824
8.6%
6 166872
7.5%
4 165733
7.5%
7 157646
 
7.1%
8 145974
 
6.6%
9 128594
 
5.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2215145
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
, 400080
18.1%
1 293956
13.3%
2 244955
11.1%
3 193121
8.7%
5 190824
8.6%
6 166872
7.5%
4 165733
7.5%
7 157646
 
7.1%
8 145974
 
6.6%
9 128594
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2215145
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
, 400080
18.1%
1 293956
13.3%
2 244955
11.1%
3 193121
8.7%
5 190824
8.6%
6 166872
7.5%
4 165733
7.5%
7 157646
 
7.1%
8 145974
 
6.6%
9 128594
 
5.8%

Depth
Real number (ℝ)

High correlation 

Distinct100014
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.970029
Minimum0.011684475
Maximum4.169347
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size781.5 KiB
2025-01-09T00:32:13.490316image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum0.011684475
5-th percentile2.982695
Q14.0621061
median4.1390188
Q34.1588964
95-th percentile4.1668486
Maximum4.169347
Range4.1576625
Interquartile range (IQR)0.096790274

Descriptive statistics

Standard deviation0.48567235
Coefficient of variation (CV)0.12233471
Kurtosis18.314857
Mean3.970029
Median Absolute Deviation (MAD)0.025792839
Skewness-4.0161463
Sum397082.3
Variance0.23587763
MonotonicityNot monotonic
2025-01-09T00:32:13.588611image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.790802061 2
 
< 0.1%
4.162518674 2
 
< 0.1%
4.166871913 2
 
< 0.1%
2.559450695 2
 
< 0.1%
4.123729989 2
 
< 0.1%
4.152087954 2
 
< 0.1%
4.148336974 1
 
< 0.1%
4.146886164 1
 
< 0.1%
4.128660045 1
 
< 0.1%
4.095640668 1
 
< 0.1%
Other values (100004) 100004
> 99.9%
ValueCountFrequency (%)
0.01168447485 1
< 0.1%
0.01290117038 1
< 0.1%
0.01351634492 1
< 0.1%
0.01455536508 1
< 0.1%
0.01576336877 1
< 0.1%
0.01648722722 1
< 0.1%
0.0169979947 1
< 0.1%
0.01758831896 1
< 0.1%
0.01799905584 1
< 0.1%
0.01817203096 1
< 0.1%
ValueCountFrequency (%)
4.169347006 1
< 0.1%
4.169271848 1
< 0.1%
4.16925035 1
< 0.1%
4.169197614 1
< 0.1%
4.169175885 1
< 0.1%
4.169167851 1
< 0.1%
4.169160408 1
< 0.1%
4.169135384 1
< 0.1%
4.169111868 1
< 0.1%
4.169085822 1
< 0.1%

Breadth
Real number (ℝ)

High correlation 

Distinct100014
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.16030599
Minimum1.8812075 × 10-5
Maximum5.4678272
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size781.5 KiB
2025-01-09T00:32:13.673432image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum1.8812075 × 10-5
5-th percentile0.0014601362
Q10.0072877879
median0.030540331
Q30.14393717
95-th percentile0.80238516
Maximum5.4678272
Range5.4678084
Interquartile range (IQR)0.13664938

Descriptive statistics

Standard deviation0.36353829
Coefficient of variation (CV)2.2677774
Kurtosis29.979882
Mean0.16030599
Median Absolute Deviation (MAD)0.027931188
Skewness4.7085877
Sum16033.805
Variance0.13216009
MonotonicityNot monotonic
2025-01-09T00:32:13.760007image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.699694436 2
 
< 0.1%
0.009805960589 2
 
< 0.1%
0.0002430011619 2
 
< 0.1%
1.577673545 2
 
< 0.1%
0.2236668174 2
 
< 0.1%
0.08985864628 2
 
< 0.1%
0.03482306927 1
 
< 0.1%
0.01681089942 1
 
< 0.1%
0.0480227855 1
 
< 0.1%
0.05388110155 1
 
< 0.1%
Other values (100004) 100004
> 99.9%
ValueCountFrequency (%)
1.881207533 × 10-51
< 0.1%
3.821394964 × 10-51
< 0.1%
4.719179113 × 10-51
< 0.1%
4.798031579 × 10-51
< 0.1%
5.058414541 × 10-51
< 0.1%
5.217001839 × 10-51
< 0.1%
5.430292356 × 10-51
< 0.1%
5.804427524 × 10-51
< 0.1%
5.831777807 × 10-51
< 0.1%
5.960441667 × 10-51
< 0.1%
ValueCountFrequency (%)
5.467827245 1
< 0.1%
5.46711897 1
< 0.1%
5.450616369 1
< 0.1%
5.449898694 1
< 0.1%
5.382930722 1
< 0.1%
5.327333718 1
< 0.1%
5.31767726 1
< 0.1%
5.312904917 1
< 0.1%
5.253762356 1
< 0.1%
5.207222697 1
< 0.1%

Interactions

2025-01-09T00:32:08.205666image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-09T00:32:06.576081image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-09T00:32:07.078264image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-09T00:32:07.508890image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-09T00:32:07.899739image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-09T00:32:08.268739image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-09T00:32:06.713294image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-09T00:32:07.151615image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-09T00:32:07.597533image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-09T00:32:07.961679image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-09T00:32:08.329691image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-09T00:32:06.844684image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-09T00:32:07.235532image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-09T00:32:07.681529image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-09T00:32:08.021667image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-09T00:32:08.395906image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-09T00:32:06.931347image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-09T00:32:07.311345image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-09T00:32:07.757186image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-09T00:32:08.085144image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-09T00:32:08.455151image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-09T00:32:07.002241image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-09T00:32:07.405372image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-09T00:32:07.829144image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-01-09T00:32:08.144681image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Correlations

2025-01-09T00:32:13.821360image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Average_RatingBreadthDepthHelpfulnessNum_of_RatingsRating
Average_Rating1.000-0.2060.198-0.1030.3320.192
Breadth-0.2061.000-0.9190.104-0.2180.033
Depth0.198-0.9191.000-0.1100.2140.028
Helpfulness-0.1030.104-0.1101.000-0.0800.011
Num_of_Ratings0.332-0.2180.214-0.0801.0000.086
Rating0.1920.0330.0280.0110.0861.000

Missing values

2025-01-09T00:32:08.566602image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
A simple visualization of nullity by column.
2025-01-09T00:32:08.789715image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Review_TextPosted_DateRatingAverage_RatingNum_of_RatingsHelpfulnessReviewerReview.TitleLinkRating_DistributionRating_of_PerformanceRating_of_StoryDepthBreadth
0I enjoyed both The Martian and Artemis so I preordered this one and started it immediately It did not disappoint Andy Weir is one of my favorite authors and Ray Porter is one of my favorite narrators so this combination is a winwin The narration is superb and the writing is great I recommend this book Dont over think it This is worth the price of admissionDisclaimer My enjoyment of the narrator is based on my listening speed I only leave 5 stars for books Ive listened to or will listen to multiple times05-04-2154.9182379656DavidgonzalezsrBazingahttps://www.audible.com/pd/Project-Hail-Mary-Audiobook/B08G9PRS1K162833,15895,2619,672,360156733,7989,1298,287,227145112,16872,2818,763,4164.1514110.022185
1Awesome story telling Great build up of the characters and universe Cant compare to The Martian as that was novelunique, but this absolutely crushes Artemis Reminds me of a cross between Old Mans War and the Three Body Problem but slightly less cerebral than the latter05-05-2154.9182379159DavidAbsolutely Great way better than Artemishttps://www.audible.com/pd/Project-Hail-Mary-Audiobook/B08G9PRS1K162833,15895,2619,672,360156733,7989,1298,287,227145112,16872,2818,763,4164.1632090.003784
2Let me start off by saying that I strongly enjoyed The Martian and Artemis please, please dont let the negative comments of others dissuade you from reading Artemis Until yesterday, American Gods was my unrivaled favorite as of finishing Project Hail Mary, it is now tied for my very favorite I will not provide spoilers, but if you enjoy good science fiction Scalzi, Taylor, Adams and understand that what makes good science fiction is good science, get Project Hail MaryAs for Ray Porter, I fell in love with his narration of We Are Legion We Are Bob and its sequels His enthusiastic, geeky, humorous, witty, and sarcastic tones are an absolute delight to my ears No other narrator could have done as well or betterI dont regret preordering both the audiobook and a signed copy of Project Hail Mary in the slightest To the contrary, I am elated and am looking forward to listening to this audiobook many, many times05-05-2154.9182379157RoswatheistHighest Order of Geekgasm Medalhttps://www.audible.com/pd/Project-Hail-Mary-Audiobook/B08G9PRS1K162833,15895,2619,672,360156733,7989,1298,287,227145112,16872,2818,763,4163.1233881.057994
3Every once in a while Ill finish a book and cant help but get a bit depressed Knowing that the magic and intrigue you felt can never quite be captured again Part of this comes from completing it so quickly, I just couldnt put it down The other was I KNEW I would love it just because it was written by Andy Weir Most books it takes a few chapters to start getting into it but was hooked from the startWithout giving anything away Id say that its a mix of the Bobiverse and the Martian The amazing adventure that comes with space while geeking out on science projects05-11-2154.918237934J. KenneySo good, its depressinghttps://www.audible.com/pd/Project-Hail-Mary-Audiobook/B08G9PRS1K162833,15895,2619,672,360156733,7989,1298,287,227145112,16872,2818,763,4164.1588620.005539
4In the Martian his high school science lecture content was acceptable because of the suspense Here, which as far as I can tell is an attempt to recreate that, it totally fails After several hours of boring basic science and NOTHING at all happening, I had enough Its just dull, the attempt at suspense seems manufactured and theres no action I really liked Artemis, and wish hes written a sequel to that I am returning this one disappointed05-08-2144.918237920CeliaNOT the Martianhttps://www.audible.com/pd/Project-Hail-Mary-Audiobook/B08G9PRS1K162833,15895,2619,672,360156733,7989,1298,287,227145112,16872,2818,763,4164.1528760.011162
5I rarely write reviews but had to this time This was the best and most fun Ive had listening to an audiobook ever Perfect mix of science fiction and humor and just overall amazing The narrator is so talented Highly highly highly recommend06-25-2154.918237915EllenWow AMAZE AMAZE AMAZEhttps://www.audible.com/pd/Project-Hail-Mary-Audiobook/B08G9PRS1K162833,15895,2619,672,360156733,7989,1298,287,227145112,16872,2818,763,4164.1639590.006863
6It has all the science we love from an Andy Weir book It makes you think and even look up stuff you didnt know, but it was a tad predictable If you love his other two books you will enjoy this readlisten Would have like to hear RC Bray as the narrator, the Martian audio book will always be one of my favorites While the narrator wasnt bad in this one, just wasnt sucked into the characters as much as with the Martian or even Artemis Maybe having preorder the book built up a hype He couldnt have possible matched but I did finish the book in three days I would recommend05-12-2144.91823797Robert SchenkSmart but predictablehttps://www.audible.com/pd/Project-Hail-Mary-Audiobook/B08G9PRS1K162833,15895,2619,672,360156733,7989,1298,287,227145112,16872,2818,763,4164.1431870.016234
7if you know Andy Weir, this book will fit your expectations while still offering great surprises however, it also shows done of his weakness characters are generally flat, and the protagonists shallow sarcasm wears on you The reader performs it admirably, but the work could have benefited from backing off a bit rather than leaning into the goofinessThe inherently mysterious nature of the work makes it hard to discuss the plot or characters in a review, but suffice it to say that the incredible amount of research and thought that went into the science is on display, and theres some creative thinking there that seems both wondrous and plausible All the moving parts cone together on the end, but not without reasonable yet unexpected consequencesI enjoyed it, but of you arent a fan of Weir, try The Martian first05-12-2144.91823796jellyA fun Weir novel, but a step backhttps://www.audible.com/pd/Project-Hail-Mary-Audiobook/B08G9PRS1K162833,15895,2619,672,360156733,7989,1298,287,227145112,16872,2818,763,4164.1495470.011545
8OUTSTANDING, JUST ABSOLUTELY OUTSTANDINGThis book will stay in your memories, The main characters will stay in your memories, and you will miss them10-10-2154.91823794Daniel C.TO JOE BISHOP SKIPPY ANDY SAYS,HOLD MY BEERhttps://www.audible.com/pd/Project-Hail-Mary-Audiobook/B08G9PRS1K162833,15895,2619,672,360156733,7989,1298,287,227145112,16872,2818,763,4164.1630440.001778
9Definately Weir returning to his origins A single engineerscientist against all odds solving problems and making things workIts a good book Though the lack of interest in using the astrophage problem to solve it did become a bit annoying They have a 5000,000 ISP rocket engine and thats never used to deploy anti astrophage methods makes no senseThis does suffer from the Portal 2 dillema Is it as good as the Martian No Is it good Yes Below the Martian and Artemis, but still very readableI recommend reading Its a bit too long though05-11-2144.91823793PeterGood book, similar to the Martian, but not quitehttps://www.audible.com/pd/Project-Hail-Mary-Audiobook/B08G9PRS1K162833,15895,2619,672,360156733,7989,1298,287,227145112,16872,2818,763,4164.1024510.055344
Review_TextPosted_DateRatingAverage_RatingNum_of_RatingsHelpfulnessReviewerReview.TitleLinkRating_DistributionRating_of_PerformanceRating_of_StoryDepthBreadth
100010Its a great story with a comedy twist, if you like ironic humor this novel will be a great read09-11-1854.6551450Kennethgreat novelhttps://www.audible.com/pd/The-Hitchhikers-Guide-to-the-Galaxy-Audiobook/B002VA9SWS40868,9576,3215,929,55740758,5054,1135,232,19234621,7996,3097,994,5940.8488532.567063
100011Often found myself relistening to parts just because they were so funny I will be moving to the next book in the series and hope the humor keeps up07-05-1854.6551450Kainin MinceyLoved ithttps://www.audible.com/pd/The-Hitchhikers-Guide-to-the-Galaxy-Audiobook/B002VA9SWS40868,9576,3215,929,55740758,5054,1135,232,19234621,7996,3097,994,5940.0288283.116096
100012Ive read Hitchhikers Guide before, wayyyyy back in high school Reading it again after so long away was amazing, and Stephen Frys narrator added a whole new facet to the book that I really loved Can we talk about how Douglas Adams description of Zaphods runterm as President of the Galaxy is all too prescient in the era of Trump Because I was getting chillsFunny Space SoBritish Tagsgiving Sweepstakes11-12-1854.6551450KaitlinStephen Fry Makes Ithttps://www.audible.com/pd/The-Hitchhikers-Guide-to-the-Galaxy-Audiobook/B002VA9SWS40868,9576,3215,929,55740758,5054,1135,232,19234621,7996,3097,994,5940.0169984.153064
100013Great book and narrator It was a fun listen I wish all the books in the series were in one audiobook05-15-1854.6551450Aney1988Very enjoyablehttps://www.audible.com/pd/The-Hitchhikers-Guide-to-the-Galaxy-Audiobook/B002VA9SWS40868,9576,3215,929,55740758,5054,1135,232,19234621,7996,3097,994,5940.9727102.696929
100014I mostly stick to NonFiction, but I decided to leave my comfort zone and check out this story The storytelling style is really fun, and the voiceover actor performs it in the perfect style The story itself is a crazy SciFi tale about this guy who goes all across the universe and is put in some wild situations Nonetheless the whole novel has some interesting food for thought that raises some neat philosophical ideas Id recommend Audible 20 Review Sweepstakes Entry11-14-1744.6551450KennethSciFi Comedy with some Philosophyhttps://www.audible.com/pd/The-Hitchhikers-Guide-to-the-Galaxy-Audiobook/B002VA9SWS40868,9576,3215,929,55740758,5054,1135,232,19234621,7996,3097,994,5940.0280225.317677
100015This rendition is delicious If you have never read this book, listen to this audible book instead of reading it Its absolutely wonderful02-09-0954.6551450ElenaIts a classichttps://www.audible.com/pd/The-Hitchhikers-Guide-to-the-Galaxy-Audiobook/B002VA9SWS40868,9576,3215,929,55740758,5054,1135,232,19234621,7996,3097,994,5940.0322083.816899
100016Stephen Fry is a master Enjoyed hearing him bring this amazing book to life Wonderful05-12-1854.6551450ColleenLove this bookhttps://www.audible.com/pd/The-Hitchhikers-Guide-to-the-Galaxy-Audiobook/B002VA9SWS40868,9576,3215,929,55740758,5054,1135,232,19234621,7996,3097,994,5940.0444164.126527
100017narrator was absolutely perfect for such a good story everything I expected and more thank you04-27-1854.6551450Brandon ToppinsSci fi so goodhttps://www.audible.com/pd/The-Hitchhikers-Guide-to-the-Galaxy-Audiobook/B002VA9SWS40868,9576,3215,929,55740758,5054,1135,232,19234621,7996,3097,994,5940.8838702.335776
100018This is the kind of book that allows your imagination to fully participate in the magic of the book while the jokescommentarysatire keep you laughing and awake for long stretches of road Kept us occupied on an allnight drive from Mexico to Colorado10-02-1054.6551450BillPerfect book for a road triphttps://www.audible.com/pd/The-Hitchhikers-Guide-to-the-Galaxy-Audiobook/B002VA9SWS40868,9576,3215,929,55740758,5054,1135,232,19234621,7996,3097,994,5940.0337653.990642
100019Its been great revisiting this book Ive read it a few times already, but this was my first delve into the audiobook version Stephen Fry did a great job reading and placing the correct timing for the very British humour of the book10-25-1854.6551450James EdgeStill Holds Uphttps://www.audible.com/pd/The-Hitchhikers-Guide-to-the-Galaxy-Audiobook/B002VA9SWS40868,9576,3215,929,55740758,5054,1135,232,19234621,7996,3097,994,5940.0157633.182078